Fraud Data Analyst

SUMMARY:
Our client is seeking a Fraud Data Scientist to join their team. The successful candidate will play a crucial role in supporting transactional fraud mitigation services by leveraging data to uncover insights and develop solutions that enhance decision-making. This role focuses on optimizing fraud detection models to minimize fraud losses while maintaining minimal disruption to legitimate transactions.

POSITION INFO:
Fraud Data Scientist
Job Type: Permanent, Full Time

Key Responsibilities:

• Develop and optimize fraud detection models for payment streams.
• Analyze client risk profiles and adjust detection models and thresholds accordingly.
• Investigate system anomalies and troubleshoot issues effectively.
• Monitor system performance using industry-standard metrics and client-specific data.
• Manage data issues and incorporate new fraud data feeds as required.
• Provide technical communication and data wrangling insights for business teams.
• Support ad hoc investigations and contribute to fraud/analytics projects.

• MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or a related field.
• At least 5 years’ experience in fraud detection, data analytics, or statistical modeling.
• Proficiency in MS Office, SQL, and data wrangling techniques.
• Experience with big data analytics, scripting, and programming.